diff --git a/Project.toml b/Project.toml
index 93b28de..58bccee 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "KeyedDistributions"
 uuid = "2576fb08-064d-4cab-b15d-8dda7fcb9a6d"
 authors = ["Invenia Technical Computing Corporation"]
-version = "0.1.11"
+version = "0.1.12"
 
 [deps]
 AutoHashEquals = "15f4f7f2-30c1-5605-9d31-71845cf9641f"
diff --git a/src/KeyedDistributions.jl b/src/KeyedDistributions.jl
index 9f7bb8d..988d14b 100644
--- a/src/KeyedDistributions.jl
+++ b/src/KeyedDistributions.jl
@@ -54,6 +54,12 @@ for T in (:Distribution, :Sampleable)
                     "lengths of key vectors $key_lengths must match " *
                     "size of distribution $(_size(d))"
                 ))
+                if d isa Distribution && mean(d) isa KeyedArray && !(axiskeys(mean(d)) == keys)
+                    throw(ArgumentError(
+                        "Distribution keys $(axiskeys(mean(d))) do not match " *
+                        "KeyedDistribution keys $(keys)"
+                    ))
+                end
                 L = Tuple(:_ for _ in 1:length(key_lengths))
                 return new{F, S, typeof(d), L}(d, keys)
             end
@@ -65,6 +71,12 @@ for T in (:Distribution, :Sampleable)
                     "lengths of key vectors $key_lengths must match " *
                     "size of distribution $(_size(d))"
                 ))
+                if d isa Distribution && mean(d) isa KeyedArray && !(named_axiskeys(mean(d)) == named_keys)
+                    throw(ArgumentError(
+                        "Distribution keys $(named_axiskeys(mean(d))) do not match " *
+                        "KeyedDistribution keys $(named_keys)"
+                    ))
+                end
 
                 return new{F, S, typeof(d), keys(named_keys)}(d, values(named_keys))
             end
diff --git a/test/runtests.jl b/test/runtests.jl
index 28e9c54..73ff686 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -347,6 +347,14 @@ using Test
 
             @test d([1]) == d[[1]] == KeyedDistribution(GenericMvTDist(3, m[[1]], submat(W, [1])), [1])
         end
+
+        @testset "construct with distribution backed by KeyedArray" begin
+            ka = wrapdims(rand(3); t=["a", "b", "c"])
+            mvn = MvNormal(ka, ones(3))
+            @test_throws ArgumentError KeyedDistribution(mvn, ["a", "b", "not c"])
+            @test_throws ArgumentError KeyedDistribution(mvn; t=["a", "b", "not c"])
+            @test_throws ArgumentError KeyedDistribution(mvn; not_t=["a", "b", "c"])
+        end
     end
 
     @testset "NamedDims functions" begin